Incidental Scrotal Findings at Imaging -1: Calcifications

Scrotal calcifications are commonly encountered in the clinical practice at ultrasound, and they may be occasionally identified also at CT and Rx ray examination performed for other purposes. Intra- or extra-testicular calcifications have different clinical relevance. Intratesticular calcifications are usually benign, but may also be found in tumors, or follow trauma, infarction, and inflammation. Testicular microlithiasis is increasingly encountered in otherwise healthy men. Currently, there is no evidence that it is either a premalignant condition or a causative agent for neoplasia, but a clear association exists between this condition, other testicular calcifications, and an increased risk of testicular malignancy. Extra-testicular calcifications are more frequent than intratesticular calcifications and are almost always benign. They include scrotal pearls, calcifications of the epididymis and appendages, and those involving the tunicae and the scrotal wall

The Transferable Belief Model For Failure Prediction In Wireless Sensor Networks

International audienc

CEUS of Cystic Renal Masses Atypical at US: Comparison with CT in a Consecutive Series of 117 Lesions

Poster al 96th Scientific Assembly and Annual Meeting oft he Radiological Society of North America - RSNA 2010 Chicago 28 novembre \u2013 3 dicembre 201

A Low-Resources Hardware-based Audio Data Compression Scheme for Wireless Sensors Networks

Over the last two decades, the Wireless Multimedia Sensors Networks (WMSN) technology have become increasingly popular by both actual industrial users and research community, they are used for recording speech and then sending it to a base station. However, their limited amount of resources (power, low capacity of radio waves, bandwidth, memory, processing, storage, etc.) makes it important to save resources in order to extend the life of the sensor as long as possible. This paper aims to propose and evaluate an adaptive lifting wavelet encoding hardware solution for audio data compression in WMSN, with require low memory, low computation and low energy consumption. The simulation results show that the proposed approach is efficient and satisfactory compared to the Discrete Cosine Transform (DCT) approach, since it allows 32.6% storage savings and 47.84% energy savings were achieved

DDCA-WSN: A Distributed Data Compression and Aggregation Approach for Low Resources Wireless Sensors Networks

International audienceWireless Sensor Networks (WSN) have been as useful and beneficial as resource-constrained distributed event-based system for several scenarios. Yet, in WSN, optimisation of limited resources (energy, computing memory, bandwidth and storage) during data collection and communication process is a major challenge. Data redundancy involves a large consumption of sensor resources during processing and transferring information to an analysis centre. As a matter of fact, most of energy consumption (as much as 80%) for standard WSN applications lies in the radio module where receiving and sending packets is necessary to communicate between stations. Thus, this paper proposes an approach to achieve optimal sensor resources by data compression and aggregation regarding integrity of raw data. Then, the main objective is to reduce this redundancy by discarding a certain number of packets of information and keeping only the most meaningful and informative ones for the reconstruction. Data aggregation discarded a certain sensing data packet, which lead to low data-rate communication and low likelihood of packet collisions on the wireless medium. Data compression reduces a redundancy in keeping aggregated data, in order to diminish resources consumption of wireless sensor nodes, which leads to storage saving and sending only a small data stream in the bandwidth of communication. The performances of the proposed approach DDCA-WSN are qualified using experimental simulation on OMNeT++/Castalia. The performance metrics were evaluated in terms of Compression Ratio (CR), data Aggregation Rate (AR), Peak Signal-to-Noise Ratio (PSNR), Mean Square Error (MSE) and Energy Consumption (EC).The obtained results have significantly increased the network lifetime. Moreover, the integrity (quality) of the raw data is guaranteed

The Transferable Belief Model for Network Performance Reliability Analysis in Wireless Sensor Networks

International audienceIn view of the prospects offered by the Wireless Sensor Networks (WSNs), some of the main challenges in recent years concern access to more reliable information (event detection) for an efficient decision making. Moreover, WSNs are one of the most speedily developing information technologies and promise to have a variety of applications in Next Generation Networks (NGN), Internet of Things (IoT), and for critical and safety relevant applications.Reliability is one of the most important attribute of such systems. Thus, in the field of artificial intelligence, the development of intelligent systems for processing imprecise and/or uncertain information is proposed. Truth be told, reliable event detection at the sink node depends on collective information given by source nodes and not just on any individual report. Subsequently, the WSNs world view requires a collective event to the sink reliability notion instead of the conventional end to end notion. This paper analyses the reliability of WSNs by adopting the theory of belief functions. The proposed Transferable Belief Model (TBM) approach aims to analyse reliability in WSNs according to the network topology. It includes a reliability of coverage, reliability of packet delivery, reliability of secure data exchange, reliability of network availability and reliability in terms of network latency